Home Archives for Adam Fershtman
Converged single pass processing, purpose built global cloud service, and open data platform.
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
AI/ML for threat intelligence and unclassified application identification, ML engines for threat prevention and incident criticality, ML models for device classification, and GenAI for productivity.
Converged single pass processing, purpose built global cloud service, and open data platform.
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
AI/ML for threat intelligence and unclassified application identification, ML engines for threat prevention and incident criticality, ML models for device classification, and GenAI for productivity.
Adam is a data scientist in Cato Research Labs at Cato Networks. Adam has a Phd in Fluid Mechanics and enjoys using his experience in statistics and modeling to initiate and pursue research questions. Since leaving Academia, Adam has discovered an interest in network and cybersecurity research, where he applies his knowledge in state-of-the-art and novel machine learning methods to solve domain problems.
With Cato, any organization can reap the full benefits of digital transformation, move at the speed of business, and be ready for whatever’s next.